Dominik Eckardt

3.5k total citations · 1 hit paper
28 papers, 2.7k citations indexed

About

Dominik Eckardt is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Dominik Eckardt has authored 28 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Dominik Eckardt's work include Connexins and lens biology (14 papers), Pluripotent Stem Cells Research (6 papers) and Heat shock proteins research (6 papers). Dominik Eckardt is often cited by papers focused on Connexins and lens biology (14 papers), Pluripotent Stem Cells Research (6 papers) and Heat shock proteins research (6 papers). Dominik Eckardt collaborates with scholars based in Germany, Netherlands and Chile. Dominik Eckardt's co-authors include Klaus Willecke, Joachim Degen, Urban Deutsch, Goran Söhl, Alessandro Romualdi, Jürgen Eiberger, Martin Güldenagel, Martin Theis, Rolf Kemler and Jason Wray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Dominik Eckardt

27 papers receiving 2.6k citations

Hit Papers

Structural and Functional Diversity of Connexin Genes in ... 2002 2026 2010 2018 2002 250 500 750

Peers

Dominik Eckardt
Virginijus Valiūnas United States
Dominik Eckardt
Citations per year, relative to Dominik Eckardt Dominik Eckardt (= 1×) peers Virginijus Valiūnas

Countries citing papers authored by Dominik Eckardt

Since Specialization
Citations

This map shows the geographic impact of Dominik Eckardt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dominik Eckardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Eckardt more than expected).

Fields of papers citing papers by Dominik Eckardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dominik Eckardt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dominik Eckardt. The network helps show where Dominik Eckardt may publish in the future.

Co-authorship network of co-authors of Dominik Eckardt

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Eckardt. A scholar is included among the top collaborators of Dominik Eckardt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dominik Eckardt. Dominik Eckardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wittwer, Arthur J., Benjamin Theek, Olaf Hardt, et al.. (2025). Precision-cut tumor tissue slices, a novel tool to study the tumor microenvironment interactions with chimeric antigen receptor (CAR) T cells. PLoS ONE. 20(8). e0327322–e0327322.
2.
Abramowski, Pierre, et al.. (2024). Identification and Characterization of Fully Human FOLR1-Targeting CAR T Cells for the Treatment of Ovarian Cancer. Cells. 13(22). 1880–1880. 3 indexed citations
3.
Kopatz, Jens, et al.. (2024). Preclinical Evaluation of Novel Folate Receptor 1-Directed CAR T Cells for Ovarian Cancer. Cancers. 16(2). 333–333. 11 indexed citations
4.
Rawashdeh, Wa’el Al, Dominik Lock, Christoph Herbel, et al.. (2023). Targeting Stage-Specific Embryonic Antigen 4 (SSEA-4) in Triple Negative Breast Cancer by CAR T Cells Results in Unexpected on Target/off Tumor Toxicities in Mice. International Journal of Molecular Sciences. 24(11). 9184–9184. 7 indexed citations
5.
Nowacka‐Woszuk, Joanna, et al.. (2022). Microphysiological stem cell models of the human heart. Materials Today Bio. 14. 100259–100259. 11 indexed citations
6.
Herbel, Christoph, Daniel Schaefer, Jutta Kollet, et al.. (2019). Abstract 4694: Evaluation of tumor-associated antigen expression with the MACSimaTMhigh-content imaging platform. Tumor Biology. 4694–4694. 1 indexed citations
7.
Monnerat, Gustavo, Stefan Tomiuk, Daniela Malan, et al.. (2015). Differential Expression Levels of Integrin α6 Enable the Selective Identification and Isolation of Atrial and Ventricular Cardiomyocytes. PLoS ONE. 10(11). e0143538–e0143538. 11 indexed citations
8.
Schambach, Axel, Dominik Lock, Dirk Wedekind, et al.. (2014). FAS-Based Cell Depletion Facilitates the Selective Isolation of Mouse Induced Pluripotent Stem Cells. PLoS ONE. 9(7). e102171–e102171. 1 indexed citations
9.
Barral, Serena, Stefan Tomiuk, Marie-Catherine Tiveron, et al.. (2012). Efficient neuronal in vitro and in vivo differentiation after immunomagnetic purification of mESC derived neuronal precursors. Stem Cell Research. 10(2). 133–146. 12 indexed citations
10.
Wray, Jason, Tüzer Kalkan, Sandra Gómez‐López, et al.. (2011). Inhibition of glycogen synthase kinase-3 alleviates Tcf3 repression of the pluripotency network and increases embryonic stem cell resistance to differentiation. Nature Cell Biology. 13(7). 838–845. 400 indexed citations
11.
Döring, Britta, Oksana Shynlova, Prudence Tsui, et al.. (2006). Ablation of connexin43 in uterine smooth muscle cells of the mouse causes delayed parturition. Journal of Cell Science. 119(9). 1715–1722. 88 indexed citations
12.
Kretz, Markus, Dominik Eckardt, Olaf Krüger, et al.. (2006). Normal embryonic development and cardiac morphogenesis in mice with Wnt1‐Cre‐mediated deletion of connexin43. genesis. 44(6). 269–276. 9 indexed citations
13.
Döring, Britta, Gabriele Pfitzer, Birgit Adam, et al.. (2006). Ablation of connexin43 in smooth muscle cells of the mouse intestine: functional insights into physiology and morphology. Cell and Tissue Research. 327(2). 333–342. 18 indexed citations
14.
Krüger, Olaf, Stephan Maxeiner, Jung-Sun Kim, et al.. (2006). Cardiac morphogenetic defects and conduction abnormalities in mice homozygously deficient for connexin40 and heterozygously deficient for connexin45. Journal of Molecular and Cellular Cardiology. 41(5). 787–797. 26 indexed citations
15.
Eckardt, Dominik, Joachim Degen, Thomas Ott, et al.. (2006). Cardiomyocyte-restricted deletion of connexin43 during mouse development. Journal of Molecular and Cellular Cardiology. 41(6). 963–971. 34 indexed citations
16.
Araya, Roberto, Dominik Eckardt, Manuel A. Riquelme, Klaus Willecke, & Juan C. Sáez. (2003). Presence and Importance of Connexin43 During Myogenesis. Cell Communication & Adhesion. 10(4-6). 451–456. 40 indexed citations
17.
Araya, Roberto, Dominik Eckardt, Manuel A. Riquelme, Klaus Willecke, & Juan C. Sáez. (2003). Presence and Importance of Connexin43 During Myogenesis. Cell Communication & Adhesion. 10(4). 451–456. 2 indexed citations
18.
Eckardt, Dominik. (2003). Functional role of connexin43 gap junction channels in adult mouse heart assessed by inducible gene deletion. Journal of Molecular and Cellular Cardiology. 36(1). 101–110. 123 indexed citations
19.
Willecke, Klaus, Jürgen Eiberger, Joachim Degen, et al.. (2002). Structural and Functional Diversity of Connexin Genes in the Mouse and Human Genome. Biological Chemistry. 383(5). 725–37. 956 indexed citations breakdown →
20.
Theis, Martin, Cor de Wit, Thorsten M. Schlaeger, et al.. (2000). Endothelium-specific replacement of the connexin43 coding region by a lacZ reporter gene. genesis. 29(1). 1–13. 151 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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